Latest AI and machine learning research in health policy for healthcare professionals.
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative to a second reader to help augment physicians' interpretations of breast ultrasound images in differentiating benign and malignant masses. Two independent feature sets consisting of visual features based on a radiologist's interpretation of images and computer-extracted features when used as first ...
Feature selection is an important data-preprocessing technique in classification problems such as bioinformatics and signal processing. Generally, there are some situations where a user is interested in not only maximizing the classification performance but also minimizing the cost that may be associated with features. This kind of problem is called cost-based feature selection. However, most exis...
BACKGROUND/AIM: Robot-assisted surgery has become increasingly routine, replacing open and laparoscopic techniques in certain domains, with recent ext...
Recently, the use of social media for health information exchange is expanding among patients, physicians, and other health care professionals. In med...
Increasing recognition of the role and value of theory in improvement work in healthcare offers the prospect of capitalising upon, and consolidating, ...
This paper demonstrates methods for the online optimization of assistive robotic devices such as powered prostheses, orthoses and exoskeletons. Our al...
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured four tracks. The first of these was the de-identification track focused ...
In December 2013, the Japanese Ministry of Health, Labour and Welfare (MHLW) partially amended the safety regulations for use of industrial robots so ...
Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ranked first among cancer mortality rates since the e...
A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-ter...
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on...
Neural network models of early sensory processing typically reduce the dimensionality of streaming input data. Such networks learn the principal subsp...
The dual challenge of increasing numbers of older adults and overall increases in those with some form of insurance is driving the need to develop and...
Blind quality assessment of 3D images encounters more new challenges than its 2D counterparts. In this paper, we propose a blind quality assessment fo...
Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality ...
With the rapid development of information technologies, tremendous amount of data became readily available in various application domains. This big da...
The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes knowledge score using an assessment tool developed to...
Physical therapy is an important component of gait recovery for individuals with locomotor dysfunction. There is a growing body of evidence that sugge...
While level walking with a pneumatic ankle-foot exoskeleton is studied extensively, less is known on uphill walking. The goals of this study were to g...
Machine learning is being used in a wide range of application domains to discover patterns in large datasets. Increasingly, the results of machine lea...